为探讨湘西地区土壤重金属污染状况和环境质量,选择凤凰县相关地区作为研究区域。使用2022年6月至8月在研究区收集的440个土壤样品的数据,土壤的pH值和8种重金属元素的含量,即,As,Cd,Cr,Cu,Hg,Ni,Pb,Zn,进行了分析。利用PMF模型对土壤环境质量进行溯源分析和地球化学评价。结果表明,土壤重金属ω(Zn)的平均值,ω(Cr),ω(Pb),ω(Ni),ω(Cu),ω(As),ω(Cd),和ω(Hg)分别为81.02、64.67、31.63、29.27、25.52、9.93、0.28和0.13mg·kg-1。研究区土壤以弱酸性为主,与全国土壤背景值相比,Cd和Hg元素的含量相对较高,并且变化很大。林地中的Hg和Cd元素含量高于其他土地利用。PMF模型结果表明,研究区重金属污染源的贡献率为采源(37.4%),大气沉降源(7.7%),天然来源(41.1%),和农业活动源(13.8%),并根据四种污染源的空间分布对污染控制措施提出了建议。通过对土壤环境地球化学的综合评价,研究区分为三类地块,即,非风险区(94.27平方公里),占76.38%;风险可控区域(27.45km2),占22.24%;高风险区域(1.7平方公里),占1.38%。本研究为研究区土地污染防治措施提供数据支持,以及防控范围的划定。
In order to explore the status of soil heavy metal pollution and environmental quality in west Hunan, relevant areas of Phoenix County were selected as the study area. Using data from 440 soil samples collected in the study area from June to August 2022, the pH value of the soil and contents of eight heavy metal elements, namely, As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn, were analyzed. The PMF model was used for traceability analysis and geochemical evaluation of soil environmental quality. The results showed that the average values of soil heavy metals ω(Zn), ω(Cr), ω(Pb), ω(Ni), ω(Cu), ω(As), ω(Cd), and ω(Hg) were 81.02, 64.67, 31.63, 29.27, 25.52, 9.93, 0.28, and 0.13 mg·kg-1, respectively. The soil in the study area was mainly weakly acidic, and the contents of the Cd and Hg elements were relatively high compared to the national soil background values and were highly variable. The contents of the Hg and Cd elements in forest land were higher than that in other land uses. The PMF model results showed that the contribution rates of heavy metal pollution sources in the study area were mining sources (37.4%), atmospheric sedimentation sources (7.7%), natural sources (41.1%), and agricultural activity sources (13.8%) and provided suggestions on pollution control measures according to the spatial distribution of the four types of pollution sources. Through the comprehensive assessment of soil environmental geochemistry, the study area was divided into three types of plots, namely, non-risk areas (94.27 km2), accounting for 76.38%; risk-controllable areas (27.45 km2), accounting for 22.24%; and high-risk areas (1.7 km2), accounting for 1.38%. This study provided data support for the prevention and control measures of land pollution in the research area, as well as the delineation of the prevention and control scope.